Mulki, HalaHaddad, HatemAli, Chedi BechikhBabaoglu, Ismail2020-03-262020-03-262018978-1-5386-1501-02165-0608https://hdl.handle.net/20.500.12395/3688626th IEEE Signal Processing and Communications Applications Conference (SIU) -- MAY 02-05, 2018 -- Izmir, TURKEYThis paper investigates the impact of preprocessing on sentiment classification of Turkish movies and products reviews. Input datasets were subjected to several combinations of preprocessing techniques. Later, the manipulated reviews were fed to a lexicon-based and a supervised machine learning sentiment classifiers. The achieved results emphasize the positive impact of preprocessing phase on the accuracy of both sentiment classifiers as the baseline was outperformed with a considerable margin especially when stemming, emoji recognition and negation detection tasks were applied.eninfo:eu-repo/semantics/closedAccessPreprocessingTurkish sentiment analysissupervised sentiment classifierlexicon-based sentiment classifierConference ObjectN/AWOS:000511448500571N/A